2013
DOI: 10.1080/00207179.2013.787647
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Decentralised event-triggered cooperative control with limited communication

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Cited by 220 publications
(158 citation statements)
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References 14 publications
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“…The triggering times are determined implicitly by the event conditions to ensure the stability of the closed-loop system. Many researchers studied event-triggered control for multi-agent systems recently, e.g., [13][14][15][16][17][18][19][20][21][22]. The key points in eventtriggered control for multi-agent systems are how to design the event-triggered control law and the threshold to determine the corresponding triggering times and how to exclude Zeno behavior.…”
Section: Introductionmentioning
confidence: 99%
“…The triggering times are determined implicitly by the event conditions to ensure the stability of the closed-loop system. Many researchers studied event-triggered control for multi-agent systems recently, e.g., [13][14][15][16][17][18][19][20][21][22]. The key points in eventtriggered control for multi-agent systems are how to design the event-triggered control law and the threshold to determine the corresponding triggering times and how to exclude Zeno behavior.…”
Section: Introductionmentioning
confidence: 99%
“…It can also be seen that in the particular case when systems (2) represent single integrator dynamics, then our models degenerate to ZOH models as in [12], [13].…”
Section: B Problem Statementmentioning
confidence: 99%
“…This approach can be seen as a generalization of the sampledata approach where Zero-Order-Hold (ZOH) models are used. However, because we consider unstable trajectories in general, the choice of ZOH models does not provide a good performance when considering general linear dynamics as it was in the case of single integrators [12], [13].…”
Section: B Problem Statementmentioning
confidence: 99%
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“…However, the drawback of the proposed algorithm is that it is a time-dependent triggering rule with design parameters that are difficult to choose to yield good performance. Instead, a state-dependent triggering rule is proposed in [20] which better aligns the events with the desired task; this is explained in more detail later. Lastly, all the above algorithms assume continuous evaluation C. Nowzari, J. Cortés, and G. J. Pappas: Event-triggered communication and control for multi-agent average consensus -Chap.…”
Section: Introductionmentioning
confidence: 99%